TimBo — CS2 Stats

DE76561198015277530[U:1:55011802]Steam profile ↗✓ No bans

1,197Tracked matches54%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating16,920Purple band · top ~20.8% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning62

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLLLWWWLWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.2

Aggression9.8

Utility5.5

Positioning6.2

Opening Duels4.2

Clutch4.0

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like device 92% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 57% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.2

Positioning6.2

Utility5.5

Mechanics6.8

Opening Duels4.2

Win Impact6.2

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time582ms−49ms

first ⅓ avg 631ms → last ⅓ avg 582ms

Headshot accuracy15.7%+2.3%

first ⅓ avg 13.5% → last ⅓ avg 15.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.14Best rating — inferno 13–3

13–1Biggest win — train

5Longest win streak

L3Current streak

8–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 71% over 17cacheWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	24	10–14	42%	-0.01
inferno	B	19	10–9	53%	0.00
ancient	S	17	12–5	71%	0.02
anubis	B	13	6–7	46%	0.00
mirage	C	9	4–5	44%	-0.00
cache	C	8	3–5	38%	-0.01
nuke	B	8	4–4	50%	0.00
train	—	2	1–1	50%	0.00

Across the last 100 tracked matches.

Faceit stats

Combat

286Matches

49%Win rate

1.07Avg K/D

81.5ADR

34%Headshot %

Clutches & streaks

40%1v1 clutch win

26%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	34	53%	1.21	16.3
Mirage	28	50%	1.14	16.0
Anubis	25	44%	1.04	16.7
Inferno	22	27%	1.06	15.4
Ancient	20	55%	1.27	16.4
Nuke	7	71%	1.30	19.1
Overpass	4	75%	1.51	18.0
Train	2	50%	0.86	12.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.6%Headshot accuracy

37.5%Accuracy (enemy spotted)

38.4%Spray accuracy

80.8%Counter-strafing

10.1°Preaim

570msReaction time

36.6%T opening success

56.6%CT opening success

0.52Enemies flashed / flash

5.6%Flash assists

9.32HE damage / grenade

7.36Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.557% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 36.6308% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–16	-0.01	22%	30 Aug →
dust2	3–13	-0.11	9%	30 Aug →
dust2	11–13	-0.04	19%	30 Aug →
dust2	13–10	-0.00	10%	30 Aug →
ancient	13–5	0.01	8%	30 Aug →
anubis	16–12	0.03	16%	30 Aug →
inferno	11–13	-0.04	8%	30 Aug →
inferno	16–14	0.02	12%	29 Aug →
dust2	13–8	0.03	18%	29 Aug →
anubis	13–6	0.02	13%	29 Aug →
ancient	13–10	-0.01	13%	29 Aug →
inferno	8–13	-0.09	20%	29 Aug →
dust2	10–13	-0.04	7%	29 Aug →
inferno	13–11	-0.02	20%	28 Aug →
mirage	13–8	-0.02	8%	28 Aug →
anubis	5–13	-0.06	18%	23 Aug →
ancient	13–6	0.04	32%	23 Aug →
cache	5–13	-0.03	21%	23 Aug →
inferno	4–13	-0.06	25%	23 Aug →
anubis	13–10	-0.04	22%	23 Aug →
cache	13–11	0.02	14%	23 Aug →
nuke	8–13	-0.01	9%	23 Aug →
nuke	15–15	-0.05	10%	22 Aug →
cache	13–7	-0.05	17%	22 Aug →
ancient	13–5	0.14	17%	22 Aug →
anubis	3–13	-0.03	6%	22 Aug →
mirage	10–13	0.01	11%	21 Aug →
nuke	13–3	-0.01	20%	21 Aug →
anubis	15–15	-0.03	5%	20 Aug →
mirage	3–13	-0.05	13%	20 Aug →
cache	7–13	-0.01	42%	20 Aug →
dust2	13–9	-0.05	15%	20 Aug →
nuke	13–8	0.02	19%	19 Aug →
inferno	13–7	0.00	10%	19 Aug →
dust2	13–5	-0.06	10%	19 Aug →
anubis	5–13	-0.02	11%	19 Aug →
nuke	7–13	0.01	9%	18 Aug →
anubis	13–2	0.12	11%	18 Aug →
inferno	13–11	-0.01	13%	18 Aug →
train	1–13	-0.08	8%	18 Aug →
mirage	6–13	-0.05	11%	17 Aug →
anubis	13–11	0.06	10%	17 Aug →
anubis	6–13	-0.01	8%	17 Aug →
ancient	13–4	0.13	10%	17 Aug →
inferno	8–13	-0.06	15%	16 Aug →
ancient	13–5	0.00	15%	16 Aug →
ancient	16–13	-0.05	14%	16 Aug →
ancient	7–13	-0.01	11%	16 Aug →
inferno	13–5	0.06	14%	16 Aug →
inferno	11–13	-0.08	5%	16 Aug →
train	13–1	0.08	18%	16 Aug →
cache	14–16	-0.01	14%	11 Aug →
dust2	8–13	-0.03	13%	9 Aug →
mirage	16–12	-0.03	10%	9 Aug →
nuke	13–1	0.03	14%	9 Aug →
ancient	13–9	0.00	11%	9 Aug →
dust2	13–9	0.01	16%	9 Aug →
ancient	13–10	-0.02	10%	9 Aug →
dust2	11–13	-0.00	4%	9 Aug →
dust2	7–13	-0.01	22%	8 Aug →
dust2	3–13	-0.05	13%	8 Aug →
dust2	8–13	0.07	21%	8 Aug →
inferno	13–8	-0.01	15%	8 Aug →
inferno	13–6	0.04	9%	8 Aug →
inferno	13–6	-0.01	16%	7 Aug →
dust2	13–11	0.09	17%	7 Aug →
inferno	11–13	-0.04	15%	7 Aug →
ancient	7–13	-0.04	3%	7 Aug →
mirage	7–13	-0.04	16%	6 Aug →
dust2	11–13	0.01	6%	6 Aug →
dust2	5–13	-0.06	11%	25 Jul →
dust2	13–7	0.04	17%	25 Jul →
dust2	13–5	0.07	4%	25 Jul →
mirage	10–1	0.11	23%	25 Jul →
inferno	13–3	0.14	21%	25 Jul →
inferno	13–16	0.04	18%	25 Jul →
anubis	9–13	-0.06	17%	25 Jul →
dust2	9–13	-0.02	13%	24 Jul →
inferno	11–13	-0.01	12%	24 Jul →
anubis	13–1	0.03	18%	24 Jul →
dust2	5–13	-0.03	17%	24 Jul →
nuke	4–13	0.00	25%	23 Jul →
dust2	6–13	-0.04	8%	23 Jul →
dust2	16–12	0.05	10%	23 Jul →
ancient	3–13	0.03	31%	21 Jul →
ancient	7–13	-0.03	6%	21 Jul →
anubis	14–16	0.05	11%	20 Jul →
mirage	13–10	0.07	17%	20 Jul →
cache	1–13	-0.04	3%	20 Jul →
nuke	13–10	0.03	12%	19 Jul →
ancient	13–10	0.06	6%	19 Jul →
ancient	16–14	0.02	13%	19 Jul →
cache	13–4	0.01	26%	18 Jul →
ancient	13–11	0.04	12%	18 Jul →
ancient	10–13	0.02	9%	17 Jul →
dust2	13–6	0.08	21%	17 Jul →
inferno	13–4	0.10	4%	16 Jul →
dust2	4–13	-0.02	12%	16 Jul →
mirage	9–13	-0.04	12%	16 Jul →
inferno	9–13	0.05	11%	15 Jul →